Brain Matters: Exploring Bias in AI for Neuroimaging Research

被引：0

作者：

Martin, Sophie A. ^{[1
]}

Biondo, Francesca ^{[1
]}

Cole, James H. ^{[1
,2
]}

Taylor, Beatrice ^{[1
]}

机构：

[1] UCL, Ctr Med Image Comp, London, England

[2] UCL, Dementia Res Ctr, London, England

来源：

CLINICAL IMAGE-BASED PROCEDURES, FAIRNESS OF AI IN MEDICAL IMAGING, AND ETHICAL AND PHILOSOPHICAL ISSUES IN MEDICAL IMAGING, CLIP 2023, FAIMI 2023, EPIMI 2023 | 2023年 / 14242卷

关键词：

Ethics; Fairness; Neuroimaging; Machine Learning;

D O I：

10.1007/978-3-031-45249-9_11

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Developing fair and unbiased models is important for good scientific practice and clinical utility. This paper delves into the specific biases associated with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equitable insights into neuroimaging research.

引用

页码：112 / 121

页数：10

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